∂T root mean sq [ Rwanda Monthly precip rfe ] : ∂T Merged Station-Satellite Rainfall data
Rwanda Monthly precip rfe rfe
∂T Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1983 - 15 Feb 1983) to (16 Nov 2021 - 15 Dec 2021) by 1.0 N= 467 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 12441.6 meter second year-2
- history
- $partialdiff sub T$ root mean sq [ Rwanda Monthly precip rfe ]
- Boxes with less than 0.0% dropped
Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present
Last updated: Mon, 09 May 2022 12:12:55 GMT
Filters
Here are some filters that are useful for manipulating data. There
are actually many more available, but they have to be entered
manually. See
Ingrid
Function Documentation for more information.
- Monthly Climatology calculates
a monthly climatology by averaging over all years.
- anomalies calculates the difference
between the (above) monthly climatology and the original data.
- Integrate along Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units